Other benefits Structure for today am - Introduction am – Who are you? am – What are you hoping to get out of today am – Research Data Management – What is it? Why do it? Why is it important? noon – 10 minute break pm – DIY Research Data Management Plan pm – Wrap up Data Management Training

Research data management What is it? Why do it? Why is it important? Amanda Nixon Manager,

What is research data management? Managing your data Before During After your project What is research data management?

Other benefits Your data is managed properly (it’s safe and secure) You know where it is You know who can access it It’s easy to find it (while the project is underway and beyond) If you can share the data: –It can be treated as a research output in its own right –You can cite it in your papers (and your thesis) –You are reuse it – and so can others –It will raise your research profile What’s in it for you?

What is research data management? Bringing together info about the data you wish to collect: Who is working on the project? Who will manage the data? Is the project collaborative? How much storage will be required? Where will it be located? What sort of access is required for collaboration? What ethics/sensitivities apply to the data? How will these be managed Who owns the data? IP issues? Contractual issues? Can the data be shared after the project? What licensing will apply? For how long must the data be retained? A new requirement for ARC grant applications Before Data Management Planning

What is research data management? Referring to the Data Management Plan to make sure that: The data storage works for the project team – or between you and your supervisor That any changes to the kind of data collected or storage requirements are addressed That there is adequate access to analysis tools Managing your data During

What is research data management? Describing your data Licensing Persistent location/storage Citing your data Making available for sharing and reuse Archiving/publishing your data After

Other benefits It’s good research practice Can make research quicker, less stressful (ever lost your data?) In some cases – you can release both your thesis and research data – and link them together It means you are treating your research data as a research output Why do it?

Other benefits You are getting good practice for a continued research career! Compliance with the Australian Code for the Responsible Conduct of Research Compliance with the University’s Research Practice Policy ARC data management planning requirements If you share your data: PLOS open data requirements Open data requirements of large scale research funders (Bill and Melinda Gates Foundation, National Institutes of Health (US) Why do it?

Other benefits For you – it’s to make your life easier, raise your profile and better prepare for a research career If you can share your data it can: –Establish you as an open researcher –Provide transparency to your research –Hopefully lead to data reuse and less duplication in research Which translates to better return on research dollars, faster rates of discovery and all round good vibes! Why is it important?

Other benefits What is it? Looking after your data before, during and after your project Why do it? Because there’s a lot in it for you! It’s good research practice Ensure you comply with policy Funders are placing increasing importance on it So are scholarly publishers Why is it important? Because your research data is your research output! So?

Research data management What’s involved? Amanda Nixon Manager,

Other benefits Lots of thinking Asking lots of questions Investigation Production of a document that you can keep, share or register with What’s involved

Other benefits Now! Ideally, planning will take place at the beginning of a research project But you can start later.. Remember that a data management plan should be a living document that is reviewed and amended as your project progresses When to plan?

Other benefits Open the data management plan template How to start?

Other benefits The Template Disclaimer This is designed to be a personal data management plan and will not be registered with the University See me if you wish to register your plan with –Why? –It means that we have metadata about your dataset already and it’s easier to create a record for your data when you are ready to share –More about that later!

Other benefits DIY Data Management Plan For the rest of this session, we will start going through the planning process I am very happy to discuss things as we go! Please interrupt! Any questions you have could assist others!

Other benefits Section 1 – Project Overview Project Overview Project Name Start Date End Date Funding Source Grant Number Description Remember, the description applies to your research project, not the data itself.

Other benefits Section 2 - People People Principal Investigator Data Manager Supervisor In most cases, the principal investigator will be you. The data manager will also be you. Include the supervisor(s) for your research and their institutions Something to think about – you need to share research data with your supervisor. This can affect the data storage you choose.

Other benefits From the University’s Policy on Research Practice 9.4 In accordance with the Code, a supervisor will be entitled to have access to research data and other relevant information about the research of a student for the purposes of undertaking normal supervisory responsibilities and ensuring compliance with this Policy and other University policies and procedures. The supervisor must: (i) consult with the student about the need to maintain confidentiality in respect of the student's research data, methodology, or findings; and (ii) ensure the integrity of the student's research data is preserved; and (iii) where a student is conducting research as part of a research team, inform the student at the commencement of the research project of any protocols or operating conditions that may apply in respect of the conduct of the research project, the use and storage of research data, publication of research findings, confidentiality, or commercialisation or other agreements or arrangements that may apply to the research.

Other benefits Some options for sharing data You can use the Universities Learning Management System, FLO, for research collaboration This will give you data storage and communication tools – with restricted access to other Flinders staff/students nominated by you Saves ing! If you need to share data across institutions, your project may be suitable for collaborative data storage through eResearch SA

Other benefits Section 3 – Ethics and Sensitivities Ethics and Sensitivities Type of Sensitivity Information about privacy, confidentiality or sensitivity of the data and how it will be managed Is your data private? Confidential? Have commercial or cultural sensitivities? How will you manage that? Keep in mind that this can influence where you store your data. If you wish to use cloud services for storing or collecting data, do you know where the servers are?

Other benefits Some options for secure data storage Ask your supervisor for advice Use University infrastructure (shared drives etc) If you need to transfer data using USBs, disks etc, ensure they are password protected –If necessary, encrypt your data

Other benefits Section 4 – Copyright and Intellectual Property In most cases, as a higher degree research student, you will own the data you create BUT you may need to consider: Are you collecting data with others? Are there contractual arrangements that apply to the use of data? Are you reusing data from another source? Copyright and Intellectual Property Owners Any other owners Information about contractual obligations that apply to the data

Other benefits Reusing data There is a vast amount of research data already available that may be relevant to your project –Take a look at Research Data Australia, Dryad, ADA, Genbank amongst others.Research Data AustraliaDryadADA Genbank Double check that your data storage decisions are in line with requirements of the data owner Make sure you cite the data!

Other benefits Section 5 – Data Storage Data Storage Expected size of the data collected Storage Location Storage Location notes Location of the Master version About how much data do you expect to collect? Will you have multiple copies? Will you collect data using a device and then transfer it to another location? How will you ensure you are always dealing with the latest version of the data? Will you be collecting large amounts of data?

Other benefits Large Scale Data Storage and High Performance Computing If you need large scale data storage or high performance computing there are some options –Check with your supervisor –Consider eResearch SA offerings including Colossus HPC based at Flinders Tizard HPC based at eResearch SA The Australian Research Cloud Large scale funded storage

Other benefits Section 6 – About the data Are you using standard formats to collect your data? Predominant file format Other formats used Your choice of file format may be determined by the equipment you are using, but do you need to keep it in that file format for the long term?

Other benefits Data formats Being clear about the file formats you are using is important if you wish to share your data after your project is completed It is also important when considering what data storage is appropriate When archiving data - consider using non-proprietary formats

Other benefits Section 7 – Data Licencing and Access Can you share your data? What license will you apply? Describe data sharing arrangements for the data Ongoing data manager License to apply to the data Estimate of when data will be made available for sharing

Other benefits Data Sharing Not all data can be shared, but lots can –You might consider if your data can be de- identified –Maybe a subset of the data can be shared –Perhaps only processed data can be shared –Or perhaps you will only share your data with people that have sought your permission

Other benefits If you do share your data You can apply a license to your data to ensure it is used appropriately (Creative Commons)Creative Commons can help create metadata for inclusion in Research Data AustraliaResearch Data Australia You might consider putting your data in a discipline specific/international repository See the Registry of Research Data RepositoriesRegistry of Research Data Repositories

Other benefits Section 8 – Data Retention and Disposal How long should your data be kept for? Applicable retention period

Other benefits From the Code In general, the minimum recommended period for retention of research data is 5 years from the date of publication. However, in any particular case, the period for which data should be retained should be determined by the specific type of research. For example: –for short-term research projects that are for assessment purposes only, such as research projects completed by students, retaining research data for12months after the completion of the project may be sufficient –for most clinical trials, retaining research data for 15 years or more may be necessary –for areas such as gene therapy, research data must be retained permanently (eg patient records)– –if the work has community or heritage value, research data should be kept permanently at this stage, preferably within a national collection (Australian Code for the Responsible Conduct of Research)

Other benefits So, that’s a draft. What now? If any of this drastically changes what you are doing or thinking of doing –Talk to your supervisor –Talk to me about eResearchSA data storage options –Remember to revisit your data management plan throughout your project –Come back to when you are ready to share your data

Other benefits And what does it look like if we share our data? Research Data Australia

Questions? Amanda Nixon, Manager, X 15217